Please use this identifier to cite or link to this item: http://cris.unibe.edu.do/handle/123456789/469
Title: Optimizing glioma resection outcomes : a systematic review of intraoperative magnetic resonance imaging guidance in neurosurgery
Autores: Ali, T. E.
Rodoshi, Z. N.
Salcedo, Yoalkris E.
Patel, V. K.
Khan, I.
Researchers (UNIBE): Salcedo, Yoalkris E. 
Affiliations: Facultad de Ciencias de la Salud 
Research area: Ciencias de la Salud
Issue Date: 2024
Publisher: Cureus, Inc.
Source: Cureus 16(7), e64697; 2024
Journal: Cureus 
Volume: 16
Issue: 7
Start page: e64697
Abstract: 
This systematic review evaluates the efficacy of intraoperative magnetic resonance imaging (iMRI) in enhancing glioma resection outcomes within neurosurgical procedures. Given the complexity and variability of gliomas, achieving precise and safe resections is challenging, necessitating the use of advanced imaging techniques like iMRI. This technology provides real-time, high-resolution insights during surgery, allowing for adaptations based on surgical dynamics and brain shifts. Our comprehensive search across multiple databases selected five significant studies that collectively demonstrate the beneficial impact of iMRI. These studies highlight its role in significantly improving the extent of tumor resection and suggest potential enhancements in both immediate and long-term patient outcomes. The findings indicate that iMRI facilitates more aggressive yet safe resections, particularly in high-risk glioma cases. However, the implementation of iMRI in clinical practice requires careful consideration of training, resource allocation, and the potential variability in outcomes due to study design heterogeneity. Future research should focus on randomized controlled trials to better understand the cost-effectiveness and long-term benefits of iMRI, promoting its wider adoption in neurosurgical settings.
URI: http://cris.unibe.edu.do/handle/123456789/469
DOI: https://doi.org/10.7759/cureus.64697
Appears in Collections:Publicaciones del Área de Salud - Medicina

Files in This Item:
File Description SizeFormat
20240717-6442-1h5xfrj.pdfFull text [open access]263.5 kBAdobe PDFView/Open
Show full item record Recommend this item

Google ScholarTM

Citations

Altmetric

Mentions

Dimensions

Citations


This item is licensed under a Creative Commons License Creative Commons